Queueing theory based accelerated traffic discharging model in front of emergency vehicle on intersection

Sony Sumaryo, Abdul Halim, Kalamullah Ramli, Endra Joelianto

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Intelligent Transportation System (ITS) is the integration between communication networks, real-time control, and information technology. The system is expected to perform more complex traffic arrangements, in particular traffic management of emergency vehicles. Implementation with traffic signal pre-emption alone is not enough to give space for the emergency vehicle to cross an intersection safely, especially if the lane street has only one lane. The paper proposes a new model of traffic discharge acceleration based on queueing theory approach. In the proposed model, two performance indicators are introduced which are: speed of normal traffic in front of the emergency vehicle and travelling time of the emergency vehicle. The aim is that the emergency vehicle could reach a destination within a certain time and a constant speed. Moreover, the delay should be managed to a minimum. Linear and exponential acceleration formulas of the traffic in front of the emergency vehicle are derived and then validated. Performances of the model are tested against the models in the literature. Simulation results show the proposed model leads to better assurance that emergency vehicle is not delayed significantly. Based on the validation test, a formula has also been developed according to the proposed model.

Original languageEnglish
Pages (from-to)213-238
Number of pages26
JournalInternational Journal of Vehicle Autonomous Systems
Volume14
Issue number3
DOIs
Publication statusPublished - 1 Jan 2019

Keywords

  • Acceleration discharge
  • Emergency vehicle
  • Queueing theory
  • Signal pre-emption
  • Simulation
  • Traffic management

Fingerprint

Dive into the research topics of 'Queueing theory based accelerated traffic discharging model in front of emergency vehicle on intersection'. Together they form a unique fingerprint.

Cite this